Adel Hamdan Mohammad

19 papers receiving 290 citations

Peers

Adel Hamdan Mohammad
Comparison fields: 5 of 55
  • Health Information Management 49
  • Medical Laboratory Technology 10
  • Artificial Intelligence 189
  • Information Systems 124
  • Signal Processing 59
Replace Ching-Seh Wu with:
Ching-Seh Wu United States
Awais Ahmed China
Rohitash Kumar Banyal India
Faheem Masoodi India
Philippe Pucheral France
Fadl Mutaher Ba-Alwi Yemen
Qutaibah Althebyan Jordan
Özgü Can Türkiye
Yingwei Jin China
Steven A. Demurjian United States
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Citations per year

Countries citing papers authored by Adel Hamdan Mohammad

Since Specialization
Citations

This map shows the geographic impact of Adel Hamdan Mohammad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adel Hamdan Mohammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adel Hamdan Mohammad more than expected).

Fields of papers citing papers by Adel Hamdan Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adel Hamdan Mohammad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adel Hamdan Mohammad. The network helps show where Adel Hamdan Mohammad may publish in the future.

Co-authors

The 13 scholars most cited alongside Adel Hamdan Mohammad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adel Hamdan Mohammad Line = papers co-authored together Adel Hamdan Mohammad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201660
2 201357
3 202142
4 201136
5 201922
6 202018
7 202216
8 202113
9 201711
10
A Framework for Expert Knowledge Acquisition
201010
11
Agile Software Methodologies: Strength and Weakness
20138
12 20116
13
GUIDELINES FOR TACIT KNOWLEDGE ACQUISITION
20125
14 20224
15
Arabic Text Categorization Using k-nearest neighbour, Decision Trees (C4.5) and Rocchio Classi¯er: A Comparative Study
20164
16 20132
17
Establishing Effective Guidelines to avoid Failure and Reducing Risk in E- Business
20142
18
Distributed Knowledge Acquisition System for Software Design Problems
20112
19 20142
20 20250

About Adel Hamdan Mohammad

Adel Hamdan Mohammad is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Communication, having authored 20 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (5 papers), Spam and Phishing Detection (4 papers), Advanced Text Analysis Techniques (3 papers), Text and Document Classification Technologies (3 papers), Knowledge Management and Sharing (2 papers), Cloud Computing and Resource Management (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Health Information Management (49 citations), Medical Laboratory Technology (10 citations), Artificial Intelligence (189 citations), Information Systems (124 citations) and Signal Processing (59 citations). Adel Hamdan Mohammad has collaborated with scholars based in Jordan, United Kingdom and United States. Frequent co-authors include Omar Almomani, Raed Abu Zitar, Sameh Ghwanmeh, Mohammed Amin Almaiah, Ahmad Althunibat, Adeeb Alsaaidah, Ja’far Alqatawna, Mohammad A. M. Abushariah, Abdel-Karim Al-Tamimi and Hamza Aldabbas. Their work appears in journals such as Modern Applied Science, Computers, materials & continua/Computers, materials & continua (Print), Applied Soft Computing, Intelligent Automation & Soft Computing and International Journal of Pattern Recognition and Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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